Whatsapp Chat Sentiment Analysis Using Machine Learning

This abstract provides an overview of the methodology and significance of sentiment analysis in regard to WhatsApp discussions. Finding out more about the overall tone of WhatsApp conversations is the aim. This analysis has applications in a wide range of domains, including public opinion analysis, brand reputation management, market research, and even mental health monitoring. The project finds commonly used phrases and emojis, creates word clouds, analyzes user behavior over time, computes response times, and extracts useful information using a variety of data pretreatment and analysis approaches. Sentiment analysis is often used to determine the emotional tone of discussions. In this abstract, we review several methods and tools for sentiment analysis of WhatsApp Chat, such as feature extraction and text pre-processing. Additionally, we highlight the challenges and limitations of sentiment analysis on WhatsApp, including the inability to understand idioms and cultural irritants.